Title :
Using wavelet multi-resolution in the remote sensing of air pollution
Author :
DeBrunner, Victor ; Chinnaswamy, Alrumani ; Zia, Amir ; DeBrunner, Linda S.
Author_Institution :
Sch. of Electr. & Comput. Eng., Oklahoma Univ., Norman, OK, USA
Abstract :
A new method based on the wavelet transform (WT) to improve resolution and detect air pollution is introduced. The method of Sezan et al. (1982), Chang et al. (1995), DeBrunner et al. (in preparation), Yao (1999), and DeBrunner et al. (2001), is extended to the multi-sensor data fusion imagery available with low cost satellite data We use the method to detect air pollution near Tinker Air Force Base in Midwest City, Oklahoma.
Keywords :
air pollution measurement; image resolution; remote sensing; sensor fusion; wavelet transforms; Tinker Air Force Base; air pollution detection; multi-sensor data fusion; remote sensing; satellite imagery; wavelet multi-resolution; wavelet transform; Air pollution; Atmospheric measurements; Cities and towns; Discrete wavelet transforms; Extraterrestrial measurements; Interpolation; Remote monitoring; Remote sensing; Satellites; Wavelet transforms;
Conference_Titel :
Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-7147-X
DOI :
10.1109/ACSSC.2001.986995
